4 projects for "hpc code analysis" with 2 filters applied:

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  • 1
    agglo

    agglo

    Multi facets CASE/AGL for easy project developments

    Agglo is a CASE (Computer Aided Software Engineering) or AGL (Atelier Génie Logiciel), whose aim is to facilitate installation ans use of various tools (either existing opensource tools, or agglo tools), in several facets of project development: - requirements management - unit tests - automated integration tests - toolkit for various languages (cpp, c, python, shell, xsl) other facets are to come ultimately: - coverage tests - planification - integration with hudson - code quality analysis - indicator production
    Downloads: 0 This Week
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  • 2
    pysourceinfo

    pysourceinfo

    RTTI for Python Source and Binary Files

    The 'pysourceinfo' package provides source information on Python runtime objects based on 'inspect', 'sys', 'os', and 'imp'. The covered objects include packages, modules, functions, methods, scripts, and classes by two views: - File System View - packages, modules, and linenumbers - based on files and paths - Runtime Object View - callables, classes, and containers - based on in-memory RTTI / introspection The supported platforms are: - Linux, BSD, Unix, OS-X, Cygwin, and...
    Downloads: 0 This Week
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  • 3

    FORTRAN Unit Test Framework (FRUIT)

    FORTRAN Unit Test Framework FRUIT - TDD in FORTRAN

    FORTRAN Unit Test Framework, written in FORTRAN 95. So that all FORTRAN features can be tested. FRUIT has assertion, fixture, setup, teardown, report, spec, driver generation. Rake used as build tool. Tutorials at http://fortranxunit.wiki.sourceforge.net The core testing part is in FORTRAN, this part can be used independent of the Ruby codes. The Ruby code is to make fixtures and reports easier. Rake is to build the project elegantly. This project also demonstrate a new way to...
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    Downloads: 0 This Week
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  • 4
    This profiler (JRE 1.5.0 only) uses JVMTI and native bytecode instrumentation for the analysis of the heap, reachable objects, execution time, garbage collection efficiency, code coverage and thread contention. No preparation steps required in build.
    Downloads: 1 This Week
    Last Update:
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